这篇文章主要介绍了Matplotlib.pyplot 三维绘图的实现示例，文中通过示例代码介绍的非常详细，对大家的学习或者工作具有一定的参考学习价值，需要的朋友们下面随着小编来一起学习学习吧
折线图
Axes3D.plot(xs,ys,*args,**kwargs)
| Argument | Description |
|---|---|
| xs, ys | x, y coordinates of vertices |
| zs | z value(s), either one for all points or one for each point. |
| z来源gaodai$ma#com搞$代*码*网dir | Which direction to use as z (‘x’, ‘y’ or ‘z’) when plotting a 2D set. |
import matplotlib as mpl from mpl_toolkits.mplot3d import Axes3D import numpy as np import matplotlib.pyplot as plt mpl.rcParams['legend.fontsize'] = 10 fig = plt.figure() ax = fig.gca(projection='3d') theta = np.linspace(-4 * np.pi, 4 * np.pi, 100) z = np.linspace(-2, 2, 100) r = z ** 2 + 1 x = r * np.sin(theta) y = r * np.cos(theta) ax.plot(x, y, z, label='parametric curve') ax.legend() plt.show()
散点图
Axes3D.scatter(xs,ys,zs=0,zdir=’z’,s=20,c=None,depthshade=True,*args,**kwargs)
| Argument | Description |
|---|---|
| xs, ys | Positions of data points. |
| zs | Either an array of the same length as xs and ys or a single value to place all points in the same plane. Default is 0. |
| zdir | Which direction to use as z (‘x’, ‘y’ or ‘z’) when plotting a 2D set. |
| s | Size in points^2. It is a scalar or an array of the same length as x and y. |
| c | A color. c can be a single color format string, or a sequence of color specifications of length N, or a sequence of N numbers to be mapped to colors using the cmap and norm specified via kwargs (see below). Note that c should not be a single numeric RGB or RGBA sequence because that is indistinguishable from an array of values to be colormapped. c can be a 2-D array in which the rows are RGB or RGBA, however, including the case of a single row to specify the same color for all points. |
| depthshade | Whether or not to shade the scatter markers to give the appearance of depth. Default is True. |
from mpl_toolkits.mplot3d import Axes3D import matplotlib.pyplot as plt import numpy as np def randrange(n, vmin, vmax): ''' Helper function to make an array of random numbers having shape (n, ) with each number distributed Uniform(vmin, vmax). ''' return (vmax - vmin) * np.random.rand(n) + vmin fig = plt.figure() ax = fig.add_subplot(111, projection='3d') n = 100 # For each set of style and range settings, plot n random points in the box # defined by x in [23, 32], y in [0, 100], z in [zlow, zhigh]. for c, m, zlow, zhigh in [('r', 'o', -50, -25), ('b', '^', -30, -5)]: xs = randrange(n, 23, 32) ys = randrange(n, 0, 100) zs = randrange(n, zlow, zhigh) ax.scatter(xs, ys, zs, c=c, marker=m) ax.set_xlabel('X Label') ax.set_ylabel('Y Label') ax.set_zlabel('Z Label') plt.show()
线框图
Axes3D.plot_wireframe(X,Y,Z,*args,**kwargs)
| Argument | Description |
|---|---|
| X, Y, | Data values as 2D arrays |
| Z | |
| rstride | Array row stride (step size), defaults to 1 |
| cstride | Array column stride (step size), defaults to 1 |
| rcount | Use at most this many rows, defaults to 50 |
| ccount | Use at most this many columns, defaults to 50 |
from mpl_toolkits.mplot3d import axes3d import matplotlib.pyplot as plt fig = plt.figure() ax = fig.add_subplot(111, projection='3d') # Grab some test data. X, Y, Z = axes3d.get_test_data(0.05) # Plot a basic wireframe. ax.plot_wireframe(X, Y, Z, rstride=10, cstride=10) plt.show()
表面图
Axes3D.plot_surface(X,Y,Z,*args,**kwargs)
| Argument</
以上就是Matplotlib.pyplot 三维绘图的实现示例的详细内容，更多请关注gaodaima搞代码网其它相关文章！ 搞代码网（gaodaima.com）提供的所有资源部分来自互联网，如果有侵犯您的版权或其他权益，请说明详细缘由并提供版权或权益证明然后发送到邮箱[email protected]，我们会在看到邮件的第一时间内为您处理，或直接联系QQ：872152909。本网站采用BY-NC-SA协议进行授权 转载请注明原文链接：Matplotlib.pyplot 三维绘图的实现示例 |
|---|
